Robert J. Ingham

2.2k citations
34 papers · 1.5k · h-index 21

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
  • Oncology top 5%
    • Viral-associated cancers and disorders

Papers in

    • Ubiquitin and proteasome pathways 6
    • Protein Tyrosine Phosphatases 4
    • Glycosylation and Glycoproteins Research 3
    • RNA Research and Splicing 3
    • T-cell and B-cell Immunology 7

Robert J. Ingham

33 papers receiving 1.5k citations

Peers

Robert J. Ingham
Comparison fields: 5 of 80
  • Immunology 340
  • Oncology 389
  • Cell Biology 237
  • Molecular Biology 907
  • Immunology and Allergy 68
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Robert J. Ingham relative to Kiyotsugu Yoshikawa Japan Kiyotsugu Yoshikawa's profile →
Citations per field
00.5×3.7×
Kiyotsugu Yoshikawa · 1×
Citations per year

Countries citing papers authored by Robert J. Ingham

Since Specialization
Citations

This map shows the geographic impact of Robert J. Ingham's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robert J. Ingham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. Ingham more than expected).

Fields of papers citing papers by Robert J. Ingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Ingham. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robert J. Ingham. The network helps show where Robert J. Ingham may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert J. Ingham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert J. Ingham Line = papers co-authored together Robert J. Ingham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004421
2 2000140
3 199875
4 199870
5 199668
6 200668
7 202165
8 201353
9 200052
10 200146
11 201242
12 201242
13 201235
14 201233
15 199430
16 199427
17 201126
18 200524
19 201322
20 200722

About Robert J. Ingham

Robert J. Ingham is a scholar working on Molecular Biology, Immunology, Pathology and Forensic Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), T-cell and B-cell Immunology (7 papers), Ubiquitin and proteasome pathways (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Viral-associated cancers and disorders (4 papers), Protein Tyrosine Phosphatases (4 papers), Glycosylation and Glycoproteins Research (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Immunology (340 citations), Oncology (389 citations), Cell Biology (237 citations), Molecular Biology (907 citations) and Immunology and Allergy (68 citations). Robert J. Ingham has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Tony Pawson, Gerald Gish, Michael R. Gold, Raymond Lai, Zuoqiao Wu, Joel D. Pearson, Liudmila Matskova, Gösta Winberg, Sarah J. McLeod and Albert J. Wong. Their work appears in journals such as Journal of Biological Chemistry, Cellular Signalling, Oncogene, The Journal of Immunology and Scientific Reports.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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